GreamDesu/OpenDeepArxiv

OpenDeepArxiv is an open-sourced project designed to streamline the process of searching for research papers on arXiv, filtering based on relevance, and generating comprehensive PDF reports complete with summaries. This pipeline leverages state-of-the-art summarization techniques to help researchers quickly grasp the latest findings in their fields

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This project helps researchers and academics quickly find, filter, and understand the latest scientific papers on arXiv. You provide a research topic, and it delivers a concise PDF report containing summaries of the most relevant papers. It's designed for anyone who needs to stay current with scientific literature without manually sifting through countless articles.

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Use this if you need to quickly get up to speed on a new research area or regularly track developments in your field by automatically sifting through arXiv papers.

Not ideal if you require a simple keyword search without intelligent filtering or detailed summaries, or if you prefer to manually review full research papers.

academic-research literature-review scientific-discovery knowledge-synthesis research-paper-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 4 / 25

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Python

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Last pushed

Feb 18, 2025

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